Joe Hays

According to our database, Joe Hays authored at least 11 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware.

Kenneth Stewart, Roxana Leontie, Samantha Chapin, Joe Hays, Sumit Bam Shrestha, Carl Glen Henshaw

CoRR, December, 2025

2024

Learning to Estimate Regions of Attraction of Autonomous Dynamical Systems Using Bayesian Physics Informed Neural Networks.

Cody Scharzenberger, Shay Snyder, Sumedh R. Risbud, Joe Hays, Maryam Parsa

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

Neuromorphic control of a simulated 7-DOF arm using Loihi.

Travis DeWolf, Kinjal Patel, Pawel Jaworski, Roxana Leontie, Joe Hays, Chris Eliasmith

Neuromorph. Comput. Eng., March, 2023

Collision-Free Inverse Kinematics Through QP Optimization (iKinQP).

Julia Ashkanazy, Ariana Spalter, Joe Hays, Laura Hiatt, Roxana Leontie, Carl Glen Henshaw

CoRR, 2023

Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks.

Samuel Schmidgall, Joe Hays

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks.

Samuel Schmidgall, Joe Hays

CoRR, 2022

Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks.

Samuel Schmidgall, Joe Hays

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2021

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks.

Samuel Schmidgall, Julia Ashkanazy, Wallace Lawson, Joe Hays

Frontiers Neurorobotics, 2021

Editorial: Robust Artificial Intelligence for Neurorobotics.

Joe Hays, Subramanian Ramamoorthy, Christian Tetzlaff

Frontiers Neurorobotics, 2021

Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks.

Cody Scharzenberger, Joe Hays

CoRR, 2021

2015

Stabilizing task-based omnidirectional quadruped locomotion with Virtual Model Control.

Michael J. Kuhlman, Joe Hays, Donald A. Sofge, Satyandra K. Gupta

Proceedings of the IEEE International Conference on Robotics and Automation, 2015